In our blog article Graphs – Finding optimal routes we introduced the use of graphs to find optimal routes. This time, we will study a technique to solve this problem that is inspired by the behavior of ant colonies. In…
Hungry Geese is a version of the mythical game “Snake”, but with geese, so that multiple agents compete against each other with the goal of surviving longer. This game was born in a Kaggle competition, developed between January 26, 2021 and…
Previously in our blog, we published an article in which, as an introduction, we explained the mathematical basis behind PCA: Principal Component Analysis: A brief mathematical introduction. In this second part, we will leave the theoretical part and look at…
Progress in the field of artificial intelligence in recent years is undeniable. The frenetic race of technological giants to achieve more accurate models is causing AI to be increasingly present in our daily lives. From computer vision models that manage…
Many times the datasets we have available contain a high number of variables and what we are looking for is to be able to explain the relationship between the variables. We can reduce the dimensionality of the dataset by obtaining…
They say that a picture is worth a thousand words, but being able to interpret them and extract relevant information from them is worth much more. To carry out this purpose, artificial intelligence provides us with very interesting tools. In…
Demand forecasting and suitable pricing are two key factors in any business. In the hotel context in particular, and more specifically in the online segment, these tasks are of vital importance due to the dynamic nature of prices and high…
What is dynamic programming? Dynamic programming (DP) is a computer programming method which consists in breaking down a complex problem into smaller problems, usually in a recursive way. Then, these problems are solved one at a time, typically storing the…
Artificial neural networks are one of the main lines of study in the field of artificial intelligence today. This family of algorithms allows solving tasks as complex and diverse as image recognition, natural language processing or music generation. The main…
One of the most common problems in data science is predicting the value of certain variables based on others. For example, we need to know whether it is advisable to grant a loan to a customer depending on factors such…